Audio Annotator

Welo Data; United States; Remote; USD 5,500 - 9,600; Full time

Benefits offered by this job

Health insurance

Job summary

Welo Data is seeking an Andromeda Delta - Audio Transcription Reviewer (English US) for freelance pilot work. You will review pre-segmented audio, verify word-level segments, and adjust timestamps or transcriptions to support ML training data.

Ideal candidates have strong English fluency, prior experience in audio transcription or data labeling, and comfort with annotation tools. You will follow a detailed style guide and work independently with occasional guideline updates.

Qualifications

• English fluency including spoken/colloquial forms.
• Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred.
• Comfortable using annotation/labeling tools.
• Ability to reference and apply a detailed style guide consistently.
• Ability to work independently and adapt to guideline updates.

Responsibilities

• Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription).
• Verify segment boundaries align with actual speech onset and offset.
• Review start/end timestamps when boundaries are inaccurate.
• Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.).
• Maintain consistency and accuracy across a detailed, evolving style guide.

Skills

English fluency

Transcription experience

Annotation tools

Style guide adherence

Tools

Annotation labeling tools

Job description

About the Role:

Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-speech AI models

Project Details:

Job title: Andromeda Delta - Audio Transcription Reviewer English (US)

Engagement Type:Freelance(Pilot)

Rate:USD4.55/hour

EstimatedHours:30hours/week

Key Responsibilities

• Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription)
• Verify segment boundaries align with actual speech onset and offset
• Review start/end timestamps when boundaries are inaccurate
• Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.)
• Maintain consistency and accuracy across a detailed, evolving style guide

Requirements

• English fluency, including strong command of spoken/colloquial forms (contractions, filler words, informal speech)
• Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred
• Comfortable using annotation/labeling tools
• Ability to reference and apply a detailed style guide consistently
• Ability to work independently and adapt to periodic guideline updates